基于matlab的數(shù)據(jù)多元回歸分析的研究

1、合肥師范學(xué)院2015屆本科生畢業(yè)論文（設(shè)計(jì)）本科畢業(yè)論文（設(shè)計(jì)）本科畢業(yè)論文（設(shè)計(jì)）(2015(2015屆)基于Matlab的數(shù)據(jù)多元回歸分析的研究院系電子信息工程學(xué)院專業(yè)電氣工程及其自動化姓名張婷婷指導(dǎo)教師尹靜2015年5月學(xué)號：1111431040合肥師范學(xué)院2015屆本科生畢業(yè)論文（設(shè)計(jì)）2AbstractMultiplelinearregressionisavariablemultiplevariablesarestudiedb

2、yusingMATLABsoftwarequantitativerelationshipofMATLAB(MATrixLABatyistheabbreviationofMATrixLABaty)isahighperfmancenumericalcalculationvisualizationsoftwareitcombinesMATrixoperationsnumericalanalysissignalprocessinggraphic

3、displayatanganicwholeconstituteafriendlyinterfaceeasytouseuserenvironment，includingtheMATLABstatistictoolboxmepeopleprovidedapowerfuldatastatisticalanalysistools.UsingMATLABtoolboxfdatastatisticsmakesanalysisofthesamples

4、izeofexpansionmultipleregressionanalysistoincreasethevalidityofthestatisticalinferencealsopromotedthecontainsalargeamountofcomputingmultivariatestatisticalanalysisofthedevelopmentuse.ThistopicisstudiedonMATLABsoftwarepla

5、tfmtorealizedataofmultivariatestatisticalanalysisincludingayuanlinearregressionanalysisnonlinearregressionanalysismultivariatelinearregressionanalysisbasedonbasicdataanalysisfunctionpolyfit(unaryregression)Regress(multip

6、leregression)Learningnlinfit(nonlinearregression)Accdingtotheexperimentalresultshavebeenpastexperiencetobuildastatisticalmodelstudiesthecrelationbetweenvariablesestablishtheapproximateexpressionsoftherelationbetweenvaria

7、blesthustopredictcontrolthecrespondingvariables.Basedonthecollecteddatathroughtheresearchmethodsofthisarticleanalysisgrasptheirrelationshipcanfindwhatweneedmostinthisdatainfmationthusfurtherfurtherjudgmenttheacteristicso